metadata
license: mit
tags:
- generated_from_trainer
datasets:
- harem
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-portuguese-cased_harem-selective-CRF-first-ner
results: []
bert-base-portuguese-cased_harem-selective-CRF-first-ner
This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the harem dataset. It achieves the following results on the evaluation set:
- Loss: 0.2045
- Precision: 0.5352
- Recall: 0.4351
- F1: 0.48
- Accuracy: 0.9484
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.102 | 1.0 | 2517 | 0.2498 | 0.4367 | 0.3817 | 0.4073 | 0.9332 |
| 0.0614 | 2.0 | 5034 | 0.1842 | 0.4756 | 0.4084 | 0.4394 | 0.9408 |
| 0.0455 | 3.0 | 7551 | 0.2045 | 0.5352 | 0.4351 | 0.48 | 0.9484 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.2+cu102
- Datasets 2.2.2
- Tokenizers 0.12.1